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Redis

Real-Time Fraud Detection: Latency, Features & Scale Context window in AI: why every token is a budget decision Connecting to Redis Cloud with AWS PrivateLink vs. VPC peering | Redis Redis Data Integration in Redis Cloud is now GA in AWS | Redis Why AI Misses Business Context & How Teams Fix It AI Reasoning Explained: Why Context Matters Semantic Layer vs Context Layer: Key Differences Redis array data type: How it works and when to use it Context Graphs vs. Vector Search: When RAG Falls Short What’s new in two – May 2026 edition Redis 8.8 performance improvements: Faster string, hash, streams, SCAN & more Redis 8.8: New array data structure & open source features How Conflict-free Replicated Data Types power active-active database replication Context Orchestration: What It Is & How It Works Context Compaction for AI Agents: A Complete Guide Prompt Bloat: Causes, Costs & Fixes for LLM Apps Agentic Retrieval Techniques: A Complete Guide Single-shot reliable consumers with XREADGROUP CLAIM in Redis 8.4 | Redis Long-Horizon AI Agents: Memory & State Infrastructure What is a context engine? What Is a Context Layer? AI Agent Infrastructure Context Retrieval for AI Agents: What It Is & Why It Matters Context Poisoning: How Bad Data Breaks Agent Reasoning Context is all you need: Introducing Redis Iris | Redis Context Engineering for AI: What It Is & How to Build It Dynamic endpoints: Migrate databases without changing your endpoint | Redis AI Shopping Assistants: How They Work & What to Build Endless Aisle Retail: Infrastructure & Real-Time Data LLM Speed Benchmarks: Metrics & Infrastructure Guide Context Pruning: Cut LLM Tokens Without Losing Quality What’s new in two – April 2026 edition Agentic AI Architecture: 5 Patterns Explained AI Agent vs Chatbot: Key Differences Explained Advantages of Building a Vector Search Solution API Latency in LLM Apps: Causes & How to Fix It Security advisory: [CVE‑2026‑23479] [CVE‑2026‑25243] [CVE-2026-25588] [CVE‑2026‑25589] [CVE-2026-23631] | Redis Edge Computing Latency: Causes & How to Reduce It AI Agents vs Workflows: When to Use Each Streaming LLM Responses: Make Your AI App Feel Fast Active-Active vs Active-Passive Database Architecture Prefill vs Decode: LLM Inference Phases Explained Long-Term Memory Architectures for AI Agents Time to First Byte Test: Tools, Causes & Fixes Speculative decoding: how it works & when to use it P95 Latency: What It Is & Why It Matters Why Multi-Agent LLM Systems Fail & How to Fix Them AI Human in the Loop: Production Oversight Patterns Native OpenTelemetry metrics for Redis client libraries | Redis Client-side geographic failover for Redis Active-Active | Redis Use Redis with SQL | Redis Introducing Redis Feature Form Build Google ADK Agents with persistent, real-time memory on Redis | Redis Startup Spotlight: Neuron Systems API Throttling: Algorithms, Patterns & Mistakes Agentic AI Examples Across 6 Industries Best Chunking Strategies for RAG Pipelines Agentic AI Guardrails: Controls That Work Redis joins AWS at GDC to support the next generation of gaming | Redis Designing a semantic routing system: From static rules to dynamic intelligence with Redis and Java | Redis Real-Time Dispatch System: A Complete Guide P99 Latency: What It Means & How to Fix It Tokenization in LLMs: What AI App Devs Need to Know TTFT Meaning: What is Time to First Token? Atomic slot migration with Redis 8.4 Hybrid search benefits: Why your RAG system needs both keyword & vector search What’s new in two: March 2026 edition Vector embedding generators: How they work & how to use them Throughput-optimizing Redis for L2 KV Cache Reuse What is a data pipeline? Building AI agent pipelines that don't forget, fail, or fall apart Redis achieves Google Cloud Ready, Distributed Cloud status ahead of Google Cloud Next ‘26 | Redis Real-time network monitoring: what your data platform needs to keep up AI agent API: How agents connect to the real world What is multicloud infrastructure? A guide for 2026 What is a transaction monitoring system & how does it work? Why your AI agent fails in production & how tracing helps AI agent benchmarks: Where they fall short & why your infrastructure matters What is a JSON database (and when should you use one)? Introducing the Redis Partner Network: A new foundation for real-time innovation How real-time customer segmentation works in retail Payment orchestration & vault architecture in retail Agentic systems vs. GenAI: when generation isn't enough What is fuzzy matching? Semantic caching & routing: two powerful patterns for vector classification Redis alternatives: Why there are no exact substitutes Connect to Azure Managed Redis with Redis Insight 3.2.0 How to tame the thundering herd problem Redis to Manage Storage Replication | Redis How hierarchical navigable small world (HNSW) algorithms can improve search | Redis How leading financial institutions use Redis to drive growth | Redis Introducing Model Context Protocol (MCP) for Redis | Redis Redis vs. Elasticsearch: What’s faster for GenAI & vector search? | Redis Build fast, production-worthy AI apps with Spring AI and Redis | Redis Azure Managed Redis is GA today | Redis Redis then & now: Adapting with developers through every era | Redis Supercharge Your AI with OpenShift AI and Redis: Unleash speed and scalability | Redis What’s new in two: April 2025 | Redis Redis 8 is now GA, loaded with new features and more than 30 performance improvements | Redis What is a data strategy? 6 key components explained Data replication explained: types, examples & use cases
What’s new in two: May 2025 | Redis
2025-05-31 · via Redis

Welcome to “What’s new in two,” your quick hit of Redis releases you might have missed in the past month. We’re covering the latest developments from May and expanding on what I covered in our latest video. Press play above if you’d rather watch than read. Let’s get started.

General availability of Redis 8

I’m thrilled to announce the general availability of Redis 8, the fastest Redis yet. It has over 30 performance improvements, including 87% faster commands, 2x more operations per second throughput, 18% faster replication, and 16x more query processing power with Redis Query Engine.

Plus, we’ve changed the name of our free product from Redis Community Edition to Redis Open Source to reflect the addition of AGPLv3 as a licensing option. That’s right, it’s the copyleft license that brings the flexibility devs love.

Download the fastest Redis ever. You can get started here with the Docker image, install using snap, install using brew, install using RPM, or install using Debian APT. Or if you’re just looking to upgrade to Redis 8 from version 7.x, then here are the docs to upgrade.

General availability of Azure Managed Redis

In case you missed it, we announced the public preview of Azure Managed Redis (AMR) back in November last year, and now another huge milestone happened in May—the general availability of this fully-managed, first-party Redis offering co-engineered in partnership with Microsoft Azure.

The GA release of AMR comes with 7.4, and users will soon have access to Redis 8. This makes AMR the most advanced Redis offering on Azure to date, supporting both traditional caching and caching for AI apps and workloads.

Existing Azure Cache for Redis customers can easily migrate to AMR, and if you aren’t a Microsoft Azure customer and want to see how it could work for your solution, reach out to our team. 

Release of Redis Software 7.22

Another major milestone release in May was for our on-prem offering, 7.22 for Redis Software. This release delivers boosts in performance, making it the most performant version to date. For example, it improved performance by up to x3.4 on plain text benchmarks and x4.6 on TLS-enabled benchmarks, both compared to 7.2.4.

This release also includes multiple feature improvements like faster issue resolution and proactive support with new built-in diagnostics and structured logs, higher availability for mission-critical workloads with two-dimensional rack-zone awareness, and enterprise-grade control and scalability with enhanced tracking of management operations. Want to learn more? Check out the release notes.

Database version selection for Pro subscriptions

Next, a quality of life improvement is rolling out to our customers using Redis Cloud with a Pro subscription. You can now select Redis versions per database and perform self-serve database upgrades instantly, without needing to open a request. You can do this through the UI or API, so this gives our customers complete control over upgrading.

Private Service Connect for Pro subscriptions on GCP

Another update for our customers using Private Service Connect (PSC) to connect to their databases with a Pro subscription on GCP. We’ve reduced the number of PSC endpoints required on the consumer side from 40 to one. This will help our customers enjoy the benefits of this private connectivity method without needing to allocate a larger number of IPs in their application subnets. 

Redis Data Integration (RDI) lab

Lastly, I wanted to share a cool opportunity for those who want to get their hands on RDI. We talk about RDI a lot on this monthly series, and for good reason—it’s an amazing tool for syncing external databases to your Redis databases in real-time. We just released a new lab that will make you an expert in RDI in an hour or so. Check it out here to get started.